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On Tanzania’s Precipitation Climatology, Variability, and Future Projection
Climate
  • Krishna Borhara, Utah State University
  • Binod Pokharel, Utah State University
  • Brennan L. Bean, Utah State University
  • Liping Deng, Guangdong Ocean University
  • Shih-Yu (Simon) Wang, Utah State University
Document Type
Article
Publisher
M D P I AG
Publication Date
2-20-2020
Disciplines
Creative Commons License
Creative Commons Attribution 4.0
Abstract

We investigate historical and projected precipitation in Tanzania using observational and climate model data. Precipitation in Tanzania is highly variable in both space and time due to topographical variations, coastal influences, and the presence of lakes. Annual and seasonal precipitation trend analyses from 1961 to 2016 show maximum rainfall decline in Tanzania during the long rainy season in the fall (March–May), and an increasing precipitation trend in northwestern Tanzania during the short rainy season in the spring (September–November). Empirical orthogonal function (EOF) analysis applied to Tanzania’s precipitation patterns shows a stronger correlation with warmer temperatures in the western Indian Ocean than with the eastern-central Pacific Ocean. Years with decreasing precipitation in Tanzania appear to correspond with increasing sea surface temperatures (SST) in the Indian Ocean, suggesting that the Indian Ocean Dipole (IOD) may have a greater effect on rainfall variability in Tanzania than the El Niño-Southern Oscillation (ENSO) does. Overall, the climate model ensemble projects increasing precipitation trend in Tanzania that is opposite with the historical decrease in precipitation. This observed drying trend also contradicts a slightly increasing precipitation trend from climate models for the same historical time period, reflecting challenges faced by modern climate models in representing Tanzania’s precipitation.

Citation Information
Borhara, K.; Pokharel, B.; Bean, B.; Deng, L.; Wang, S.-Y.S. On Tanzania’s Precipitation Climatology, Variability, and Future Projection. Climate 2020, 8, 34